Luna Glass
A local-first screen-reading and voice-assistance prototype for accessible computer use without paid cloud services.
Reads the screen region around the pointer with a visible high-contrast box and local OCR fallback.
Uses Ctrl+Alt+M for bounded push-to-talk commands through local Vosk speech recognition.
Speaks results locally with Piper TTS and supports immediate stop/cancel behavior.
No paid APIs, no cloud OCR, no continuous microphone, and no autonomous actions.
Problem
Standard screen readers and magnification tools do not always match low-vision workflows where the user needs quick context around the pointer, whole-screen summaries, and spoken help without sending screen content to a cloud service.
Solution
Luna Glass combines pointer-aware capture, Linux accessibility APIs, local OCR, local speech recognition, and offline text-to-speech into a bounded assistant workflow. The current accepted strength is dependable reading; contextual explanation is being hardened so Luna can report what it actually captured instead of guessing.
Architecture
The project is built as a local Electron integration with small native helpers. The architecture favors reliability, privacy, and immediate user control over autonomous behavior.
Current Capabilities
Ctrl+Alt+P: read around pointer.Ctrl+Alt+M: voice command / push-to-talk.Ctrl+Alt+R: repeat last reading.Ctrl+Alt+X: stop or cancel.- Full-screen monitor reading by spoken request.
- Visible high-contrast region box for predictable pointer reading.
Engineering Decisions
Screen content, microphone audio, OCR, and speech stay on the machine by default.
The system reads and explains; autonomous clicking or system changes remain out of scope.
Semantic accessibility text is preferred, but OCR keeps the workflow useful when app accessibility is incomplete.
Technology Stack
Current Status
- Pointer reading
- Full-monitor reading
- Push-to-talk command path
- Offline speech output
- Stop/cancel flow
- Highlighted-text reliability
- Explanation source diagnostics
- Representative app testing
- More natural voice behavior
- Local visual explanation audit
- Spreadsheet error assistance
- Approval-gated corrections
Future Direction
The next milestone is to audit the live capture pipeline for explanation commands. If text sources remain insufficient, the project will evaluate a free local image-understanding adapter before accepting broad visual explanation as reliable.